Requirements:
BASIC QUALIFICATIONS
- PhD or Master plus experience in Computer Science, Machine Learning or related field.
- Coding and design skills, proficiency with programming languages such as C/C++, Java, or Python.
- Strong CS fundamentals in data structures, problem solving, algorithm design and complexity analysis.

PREFERRED QUALIFICATIONS:
- Significant peer-reviewed scientific contributions in premier journals and conferences.
- Experience in building production grade deep learning models for computer vision, recommendation systems, or related fields.
- Experience with defining research and development practices in an applied environment.
- Solid knowledge of big data and cloud technologies (e.g., Spark, etc.).
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
- Track record in creating novel algorithms and advancing the state of the art
- Technical writing and cross discipline collaboration skills.
- Background in classical CV algorithms is a plus.

Requirements:
* M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. - Advantage
* A proven track record of at least 3 years hands-on experience in developing multi-object tracking algorithms in computer vision, including tracking dynamic objects.
* Experience/knowledge in computer vision and image manipulation algorithms
* Knowledge of state-of-the-art multi-object tracking algorithms and techniques used by the industry in computer vision.
* In-depth understanding of Kalman filter and its applications for multi-object-tracking.
* Proficiency in C ++ and Python.
* Knowledge in Signal processing and estimation theory.
* Strong mathematical aptitude, with emphasis on probability, linear algebra, vector algebra, and geometry.
* Experience in conducting long-term development and/or research projects, in either academia or industry
* Proficiency in English, both written and spoken.
* Availability for a full-time position from Imagrys office HQ in Haifa
Skills that are considered an advantage:
* Knowledge and experience in deep learning
* Hands-on experience with deep learning frameworks such as PyTorch
* Relevant experience in the autonomous driving industry or associated domains.
* Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning.
* Experience with Linux.
* Source control with git.

Requirements:
5+ years experience in a similar role in the industry
Mathematics background and understanding of deep learning networks
Experience with PyTorch and/or TensorFlow
Excellent Python programming skills
Ability to clearly analyze computer vision challenges and to collaborate with a team of experts to create cutting-edge solutions in classic computer vision and machine learning/deep learning
B.Sc. in math, physics, electrical engineering, computer science or similar; M.Sc. is strongly preferred, specifically with a computer vision theoretical background

Requirements:
BASIC QUALIFICATIONS:
- Master's degree in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
- Experience programming with at least one modern language such as Java, C++, or C# including object-oriented design.

PREFERRED QUALIFICATIONS:
- PhD in engineering, technology, computer science, machine learning, robotics, operations research, statistics, mathematics or equivalent quantitative field.
- Significant peer-reviewed scientific contributions in premier journals and conferences.
- Experience in building production grade deep learning models for computer vision, recommendation systems, or related fields.
- Experience with defining research and development practices in an applied environment.
- Solid knowledge of big data and cloud technologies (e.g., Spark, AWS, etc.).
- Scientific thinking and the ability to invent, a track record of thought leadership and contributions that have advanced the field.
- Track record in creating novel algorithms and advancing the state of the art Technical writing, verbal communication, and cross discipline collaboration skills.
- Background in classical CV algorithms is a plus.

Requirements:
* A Master’s or Ph.D. in Computer Science, Engineering, Mathematics, or a related field.
* 5+ years of industry experience in developing and productizing computer vision and deep learning algorithms.
* 3+ years of experience working on major AI vision problems in detection, classification, and segmentation with a proven track record of successfully leading algorithm teams
* Hands-on research and industry experience with a proven track record
* Experience in managing different algorithm team members such as ML & CV developers
* Experience with Major Deep Learning Frameworks (such as PyTorch, TensorFlow, etc.).
* Experience in the fields of: Semi-supervised learning/ Unsupervised learning/ Active learning/ Reinforcement learning/ Radiance fields/ Tracking / Identification / Image Retrieval / Anomaly Detection / Pose Estimation / OCR - Advantage
Attributes
* Comfortable in unexplored territory
* Possess the skill to break down intricate problems into manageable parts, followed by proposing effective and actionable solutions
* Maintain a steadfast focus on delivering not just insights but actionable results that have a measurable impact on the project or the organization
* Good communication skills with a can-do attitude.
* Agility and multitasking, Independent and self-motivated.
* Good time management, task prioritization skills, and accountability.
* Excellent English.

Why UVeye: Pioneer Advanced Solutions: Harness cutting-edge technologies in AI, machine learning, and computer vision to revolutionize vehicle inspections. Drive Global Impact: Your innovations will play a crucial role in enhancing automotive safety and reliability, impacting lives and businesses on an international scale. Career Growth Opportunities: Participate in a journey of rapid development, surrounded by groundbreaking advancements and strategic industry partnerships.

Requirements:
* M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. – Advantage
* A proven track record of at least 3 years hands-on experience in developing multi-object tracking algorithms, including tracking dynamic objects.
* Knowledge of state-of-the-art multi-object tracking algorithms and techniques used by the industry.
* In-depth understanding of Kalman filter and its applications for multi-object-tracking.
* Experience using neural networks.
* Proficiency in C++ and Python.
* Knowledge in Signal processing and estimation theory.
* Strong mathematical aptitude, with emphasis on probability, linear algebra, vector algebra, and geometry.
* Experience in conducting long-term development and/or research projects, in either academia or industry
* Proficiency in English, both written and spoken.
* Availability for a full-time position from Imagry’s office HQ in Haifa Skills that are considered an advantage:
* Experience/knowledge in computer vision and image manipulation algorithms – big advantage
* Knowledge and experience in deep learning
* Hands-on experience with deep learning frameworks such as PyTorch
* Relevant experience in the autonomous driving industry or associated domains.
* Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning.
* Experience with Linux.
* Source control with git.

Requirements:
* M.Sc. or equivalent work track experience in CS, EE, Physics, or other quantitative field from a leading university. Ph.D. - Advantage.
* A proven track record of at least 5 years hands-on experience in developing deep learning algorithms Experience/knowledge in computer vision and image manipulation algorithms, Segmentation and classification.
* In-depth, hands-on knowledge of deep learning fundamentals.
* Hands-on experience with deep learning frameworks such as PyTorch - Must
* Strong mathematical aptitude, with emphasis on probability, vector algebra, and geometry.
* Proficiency in Python programming.
* Experience in conducting long-term development and/or research projects, in either academia or industry.
* Proficiency in English, both written and spoken.
* Availability for a full-time position from Imagrys office HQ in Haifa.
Skills that are considered an advantage: Experience in Object Detection
* Publications in top-tier journals or conferences on algorithms, computer vision, or deep learning.
* Basic proficiency in C ++.
* Experience with Linux.
* Source control with git.

Requirements:
Must have:
Practical experience in research of AI models, e.g. transformers, diffusion models, VAE/GAN.
Real passion and experience in AI generative area
Ph.D. in a related area, e.g. Computer Vision, Computer Graphics, VR/AR/MR.
Relevant experience to the position such as post-doctoral roles, a proven track record of publications from conferences e.g. Siggraph, ICCV, CVPR, ECCV, AAAI, NIPS.
Experience with machine learning or deep learning models, such as CNNs, RNNs and GANs.
Familiarity with computer vision libraries and machine learning framework, such as OpenCV, PyTorch, and TensorFlow.
Masters or PhD degree in computer science, electrical engineering, computer engineering, mathematics or other related field
Minimum 4 years of hands-on experience in research, engineering, or research & development
Proficiency in Python and C++
Minimum 4 years of experience with computer vision techniques such as object recognition, segmentation, classification, and tracking.

Requirements:
5+ years of professional experience as s Computer Vision researcher.
MS.C. or PHd in EE / CS - an advantage
Experience with Python or Matlab- an advantage
Knowledge of working with Deep Learning - an advantage
Effective written and verbal English to communicate with our international team.
Solid analytical and problem-solving skills paired with the ability to develop creative and efficient solutions.